docstr: If all values are zero, the loss should be zero.
docstr_tok: ["If","all","values","are","zero",",","the","loss","should","be","zero","."]
code: def test_loss_value(self) -> None:
      """If all values are zero, the loss should be zero."""
      bs = 3
      dim = 128
      k = 32
  
      loss_fn = MMCRLoss()
      online = torch.zeros(bs, k, dim)
      momentum = torch.zeros(bs, k, dim)
  
      loss = loss_fn(online, momentum)
  
      self.assertTrue(loss == 0)
  
file_path: lightly/tests/loss/test_MMCR_loss.py
imports: import unittest
  import torch
  from lightly.loss.mmcr_loss import MMCRLoss
label_desc: Use image node_id 3 for calling the testMMCRLoss obj's underlying member method code with example usage: obj.test_loss_value() without return types